Papers
PureGaze: Purifying Gaze Feature for Generalizable Gaze Estimation
Yihua Cheng, Yiwei Bao, Feng Lu
Pushing the Limits of Rule Reasoning in Transformers through Natural Language Satisfiability
Kyle Richardson, Ashish Sabharwal
PYLON: A PyTorch Framework for Learning with Constraints
Kareem Ahmed, Tao Li, Thy Ton et al.
Q-Ball: Modeling Basketball Games Using Deep Reinforcement Learning
Chen Yanai, Adir Solomon, Gilad Katz et al.
Qubit Routing Using Graph Neural Network Aided Monte Carlo Tree Search
Animesh Sinha, Utkarsh Azad, Harjinder Singh
QueryProp: Object Query Propagation for High-Performance Video Object Detection
Fei He, Naiyu Gao, Jian Jia et al.
QUILT: Effective Multi-Class Classification on Quantum Computers Using an Ensemble of Diverse Quantum Classifiers
Daniel Silver, Tirthak Patel, Devesh Tiwari
Random Mapping Method for Large-Scale Terrain Modeling
Xu Liu, Decai Li, Yuqing He
Random Tensor Theory for Tensor Decomposition
Mohamed Ouerfelli, Mohamed Tamaazousti, Vincent Rivasseau
Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives
David T. Hoffmann, Nadine Behrmann, Juergen Gall et al.
RareGAN: Generating Samples for Rare Classes
Zinan Lin, Hao Liang, Giulia Fanti et al.
Real-Time Driver-Request Assignment in Ridesourcing
Hao Wang, Xiaohui Bei
Reasoning about Causal Models with Infinitely Many Variables
Joseph Y. Halpern, Spencer Peters
Reconfiguring Shortest Paths in Graphs
Kshitij Gajjar, Agastya Vibhuti Jha, Manish Kumar et al.
Recovering the Propensity Score from Biased Positive Unlabeled Data
Walter Gerych, Thomas Hartvigsen, Luke Buquicchio et al.
Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed Systems
Fangda Gu, He Yin, Laurent El Ghaoui et al.
Recursive Reasoning Graph for Multi-Agent Reinforcement Learning
Xiaobai Ma, David Isele, Jayesh K. Gupta et al.
Reducing Catastrophic Forgetting in Self Organizing Maps with Internally-Induced Generative Replay (Student Abstract)
Hitesh Vaidya, Travis Desell, Alexander G. Ororbia
Reducing Energy Consumption of Pressure Sensor Calibration Using Polynomial HyperNetworks with Fourier Features
Muhammad Sarmad, Mishal Fatima, Jawad Tayyub
Reducing Flipping Errors in Deep Neural Networks
Xiang Deng, Yun Xiao, Bo Long et al.
Reference-Based Speech Enhancement via Feature Alignment and Fusion Network
Huanjing Yue, Wenxin Duo, Xiulian Peng et al.
Reference-Guided Pseudo-Label Generation for Medical Semantic Segmentation
Constantin Marc Seibold, Simon Reiß, Jens Kleesiek et al.
ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery
Gyri Reiersen, David Dao, Björn Lütjens et al.
Reforming an Envy-Free Matching
Takehiro Ito, Yuni Iwamasa, Naonori Kakimura et al.